// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include "paddle_api.h"
#include "paddle_inference_api.h"
#include <chrono>
#include <iomanip>
#include <iostream>
#include <ostream>
#include <vector>

#include <cstring>
#include <fstream>
#include <numeric>

#include <include/ocr_cls.h>
#include <include/postprocess_op.h>
#include <include/preprocess_op.h>
#include <include/utility.h>
#include <include/JsonLite.h>

using namespace paddle_infer;

namespace PaddleOCR {

	class CRNNRecognizer {
	public:
		explicit CRNNRecognizer(const std::string& model_dir, const bool& use_gpu,
			const int& gpu_id, const int& gpu_mem,
			const int& cpu_math_library_num_threads,
			const bool& use_mkldnn, const string& label_path,
			const bool& use_tensorrt, const bool& use_fp16) {
			this->use_gpu_ = use_gpu;
			this->gpu_id_ = gpu_id;
			this->gpu_mem_ = gpu_mem;
			this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
			this->use_mkldnn_ = use_mkldnn;
			this->use_tensorrt_ = use_tensorrt;
			this->use_fp16_ = use_fp16;

			this->label_list_ = Utility::ReadDict(label_path);
			this->label_list_.insert(this->label_list_.begin(),
				"#"); // blank char for ctc
			this->label_list_.push_back(" ");

			LoadModel(model_dir);
		}

		// Load Paddle inference model
		void LoadModel(const std::string& model_dir);

		void Run(std::vector<std::vector<std::vector<int>>> boxes, cv::Mat& img,
			Classifier* cls, JsonObjectBuilder& builder);

	private:
		std::shared_ptr<Predictor> predictor_;

		bool use_gpu_ = false;
		int gpu_id_ = 0;
		int gpu_mem_ = 4000;
		int cpu_math_library_num_threads_ = 4;
		bool use_mkldnn_ = false;

		std::vector<std::string> label_list_;

		std::vector<float> mean_ = { 0.5f, 0.5f, 0.5f };
		std::vector<float> scale_ = { 1 / 0.5f, 1 / 0.5f, 1 / 0.5f };
		bool is_scale_ = true;
		bool use_tensorrt_ = false;
		bool use_fp16_ = false;
		// pre-process
		CrnnResizeImg resize_op_;
		Normalize normalize_op_;
		Permute permute_op_;

		// post-process
		PostProcessor post_processor_;

		cv::Mat GetRotateCropImage(const cv::Mat& srcimage,
			std::vector<std::vector<int>> box,JsonObjectBuilder& jbox);

	}; // class CrnnRecognizer

} // namespace PaddleOCR
